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Ansari, Usama Zafar

University of British Columbia

The supply chain monitored in real-time using the sensors makes supply chain flow efficient and reliable. The Coronavirus Disease of 2019 (COVID-19) pandemic has added pressure on the federal and provincial governments to identify appropriate vaccine distribution solutions. In order to reduce the losses of the vaccines throughout the supply chain, such a solution was needed to notify the supply chain stakeholders to take action if the temperature or humidity of a batch of vaccines begin to cross its threshold level and also to allow the stakeholders to view the location of a specific batch of vaccines while in transit. There has been a great loss of vaccines in transit which is resulting in an expensive overhead for the supply chain. So, there is a need for cloud computing based monitoring of vaccine shipment using sensors embedded into the shipping container to track the location, temperature, and humidity of vaccine batches during transportation. Since these sensitive properties will be monitored in real-time which would ultimately lead to fewer losses of the vaccines. The simulation of sensor data is done to achieve the real-world condition for vaccine movement. The cloud computing services architecture is used to make the working of supply chain efficient and transfer of ownership between the entities involved in delivering the vaccines in a trusted way. The data generated through this transfer of ownership is immutable and it would generate the efficient trust of entities in the supply chain. This would build a reliable supply chain and provide the visibility to take timely actions to prevent the vaccines from getting damaged. Reliability would build trust in the supply chain from the immutability of the database. As a result of visibility, timely action should be taken to prevent vaccines from getting damaged by the environmental conditions through which it is being transported.

Text

2022-03-19

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/81103

Electrical Engineering

University of British Columbia

UBCO

http://creativecommons.org/licenses/by-nc-nd/4.0/